A geometrical approach to sampling signals with finite rate of innovation

Yue Lu, Minh N. Do

Research output: Contribution to journalConference article


Many signals of interest can be characterized by a finite number of parameters per unit of time. Instead of spanning a single linear space, these signals often lie on a union of spaces. Under this setting, traditional sampling schemes are either inapplicable or very inefficient. We present a framework for sampling these signals based on an injective projection operator, which "flattens" the signals down to a common low dimensional representation space while still preserves all the information. Standard sampling procedures can then be applied on that space. We show the necessary and sufficient conditions for such operators to exist and provide the minimum sampling rate for the representation space, which indicates the efficiency of this framework. These results provide a new perspective on the sampling of signals with finite rate of innovation and can serve as a guideline for designing new algorithms for a class of problems in signal processing and communications.

Original languageEnglish (US)
Pages (from-to)II565-II568
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - Oct 7 2004
EventProceedings - IEEE International Conference on Acoustics, Speech, and Signal Processing - Montreal, Que, Canada
Duration: May 17 2004May 21 2004


ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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